Video Stream Mask Tracking for Accurate Real-Time Obscuration
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Solution Overview
Problem
Existing video masking technologies lack accuracy and reliability, particularly in detecting and obscuring objects with poorly defined boundaries, necessitating manual frame-by-frame editing and failing to ensure complete coverage.
Innovation Solution
A method and system for selectively tracking and masking objects in a video stream using a tracking icon to move masks over objects, allowing for automatic and manual adjustment of mask positions and sizes, and generating a combined output with metadata for persistent tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated object recognition algorithms are used for masking, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The patent replaces manual frame-by-frame masking operations with an automated tracking system that uses computer vision algorithms to detect and follow objects across video frames. The tracking icon and associated software automatically adjust mask positions based on detected object locations, eliminating the need for manual intervention in each frame while maintaining accurate object coverage.
Solution Approach 2:
The masking system performs self-adjustment by automatically tracking objects across frames using the tracking icon technology. The system monitors object movement and autonomously repositions masks to maintain coverage, without requiring external manual intervention for each frame adjustment, thereby achieving both high productivity and acceptable precision.
2Ease of operation
If automated object recognition is used, then ease of operation is improved, but reliability deteriorates
Solution Approach 1:
The tracking icon serves as an intermediary between the automated recognition system and the final mask application. It provides a visual reference that bridges automatic detection with manual verification, allowing operators to easily adjust and verify mask placement while maintaining simple operation through the graphical interface.
Solution Approach 2:
The system implements feedback through the tracking icon that visually indicates detected object positions and mask alignment status. This feedback loop allows operators to verify that masks are properly positioned and adjust them if needed, ensuring reliable complete coverage while maintaining ease of operation through intuitive visual guidance.
3Measurement precision
If manual frame-by-frame masking is performed, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary tracking and detection operations automatically across all frames before final mask application. By pre-identifying object positions and movements using the tracking icon technology, the system prepares mask placement data in advance, reducing the time required for actual manual masking operations while maintaining precision.
Solution Approach 2:
The patent replaces the time-consuming manual frame-by-frame masking process with an automated system that uses tracking icons and computer vision to detect, track, and apply masks across multiple frames. This substitution dramatically reduces editing time while maintaining adequate precision through the tracking technology.
4Manufacturing precision
If masks are manually adjusted frame-by-frame, then manufacturing precision is improved, but productivity deteriorates
Solution Approach 1:
The tracking icon system enables continuous automatic tracking and mask adjustment across video frames without interruption. Instead of stopping to manually adjust each mask, the system continuously monitors object positions and automatically maintains accurate mask boundaries, thereby achieving both manufacturing precision and high processing throughput.
Solution Approach 2:
The patent replaces manual mask adjustment operations with an automated tracking system that continuously adjusts mask boundaries based on detected object positions. This substitution maintains manufacturing precision through accurate tracking while dramatically improving productivity by eliminating manual intervention in each frame.
Data Source
AI summary
Methods and devices for combining a mask with a selectively progressing video stream may include receiving a selection of at least one mask with a mask zone that obscures at least a portion of the video stream. The methods and devices may include receiving a selection to emplace the at least one mask at a first location within the video stream. The methods and devices may include receiving a selection to enable a tracking icon to move the at least one mask to a second location within the video stream while the video stream progresses. The methods and devices may include generating a combined output of the video stream and the selective emplacement and movement of the at least one mask during the video stream progression.